Xiaoqian(Stacy) Yang



I'm a graduate student in Computer Science at San Jose State University, pursuing the passion for Machine Learning, Web Development and etc. Before coming to SJSU, I recieved my master degree at Columbia University in 2015. I received my bachelor degree from Southeast University (Nanjing, China) in 2013.

And I'm blessed with a fabulous family. Me and my husband are the proud parents of two kids. In my free time, I enjoy hiking, cooking, painting and traveling.

  • Skills: Machine Learning, NLP, TensorFlow, Pandas, Data Analysis and Database, Multi-threading Programming
  • Languages: C/C++, Python, Java, JavaScript, MySQL, HTML5, CSS, PHP
  • Systems: Linux, OS X


  • All
  • Machine Learning
  • Website
  • Java App


This section is to keep track of some of my tech blogs and stories of my personal life.

1. Literature Review, 12/10/2020

I did a literature survey based on object detection (R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN). This review begins with a brief introduction on the four fundamental visual recognition problems in the field of computer vision and compare traditional methods with deep learning based methods. Then, I mainly focus on object detection architectures: R-CNN, Fast R-CNN, Faster R-CNN and one instance segmentation architecture: Mask R-CNN. In each section, I introduce model workflow, then summarize the achievements and analyze the disadvantages. Finally, I compare these architectures and write down some of my thoughts.

2. Movie reviews sentiment analysis with Naive bayesian classifier, 11/2021

I implemented a Naïve Bayes classifier in Python with picked features(based on mutual information) and Add-one smoothing from scratch and did not use off-the-shelf software. Then I used Pandas to read all data into a data frame (tokenize reviews to a list of words, remove stopwords, stem words), then split the data into training set and test set. The most interesting part would be training model: calculate log prior and log likelihood for picked features. And then test model: predict test set reviews’ sentiment and improve the model.



San Mateo County, CA, 94070

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